Table 3.
Socio-demographic correlates of abnormal eating attitudes
| Variables | Disorder | No Disorder |
X2 | df | p |
| Age – yrs (n=970) | |||||
| < 20 | 72 (15.0) | 408 (85.0) | 9.208 | 3 | 0.027 |
| 21 – 30 | 81 (17.1) | 392 (82.9) | |||
| 31 –40 | 0 | 14 (100.0) | |||
| > 40 | 2 (66.7) | 1 (33.3) | |||
| Gender (n=1009) | |||||
| Male | 65 (11.6) | 496 (88.4) | 18.714# | 1 | <0.001 |
| Female | 98 (21.9) | 350 (78.1) | |||
| Marital Status (n=1046) | |||||
| Married | 7 (25.0) | 21 (75.0) | 1.127# | 1 | 0.288 |
| Married | 160 (15.7) | 858 (84.3) | |||
| Ethnicity (n=1033) | |||||
| Yoruba | 116 (16.3) | 594 (83.7) | 1.219 | 3 | 0.748 |
| Igbo | 32 (16.9) | 157 (83.1) | |||
| Hausa | 0 (0.0) | 6 (100.0) | |||
| Others | 21 (16.4) | 107 (83.6) | |||
| Religion (n=1053) | |||||
| Christianity | 140 (16.3) | 719 (83.7) | 2.582 | 2 | 0.275 |
| Islam | 26 (14.1) | 159 (85.9) | |||
| Others | 3 (33.3) | 6 (66.7) | |||
| Institution (n=1054) | |||||
| College of Technology | 99 (19.4) | 411 (80.6) | 7.894# | 1 | 0.005 |
| University | 70 (12.9) | 474 (87.1) | |||
| Fathers employment status (n=979) | |||||
| Employed | 154 (16.5) | 779 (83.5) | 0.651# | 1 | 0.420 |
| Unemployed | 5 (10.9) | 41 (89.1) | |||
#
Yate's correction;
X2=Chi square test; df=degree of freedom; bold=p-value significant at<0.05